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| name | rca-analysis |
| description | Structured root cause analysis for incidents and problems |
| allowed-tools | ["Read","Write","Glob","Grep","Bash"] |
| metadata | {"specialization":"customer-experience","domain":"business","category":"Service Management","id":"SK-015"} |
The Root Cause Analysis (RCA) skill provides structured methodologies and tools for conducting thorough root cause investigations for incidents and problems. This skill supports multiple analysis frameworks including 5-Whys, Fishbone/Ishikawa diagrams, and Fault Tree Analysis to identify underlying causes and drive permanent corrective actions.
skill: rca-analysis
action: five-whys
parameters:
incident_id: "INC-2025-001"
problem_statement: "Customer dashboard failed to load for 2 hours"
analysis:
why_1:
question: "Why did the dashboard fail to load?"
answer: "The API gateway returned 503 errors"
why_2:
question: "Why did the API gateway return 503?"
answer: "Backend services were unresponsive"
why_3:
question: "Why were backend services unresponsive?"
answer: "Database connection pool was exhausted"
why_4:
question: "Why was the connection pool exhausted?"
answer: "A slow query was holding connections for extended periods"
why_5:
question: "Why was there a slow query?"
answer: "Missing database index on newly added column"
root_cause: "Missing database index caused slow queries that exhausted connection pool"
skill: rca-analysis
action: fishbone-diagram
parameters:
problem: "High customer churn rate in Q4"
categories:
people:
- "Insufficient CSM staffing"
- "High CSM turnover"
- "Lack of proactive outreach training"
process:
- "No early warning system"
- "Delayed QBR scheduling"
- "Reactive-only engagement model"
technology:
- "Health score not capturing usage decline"
- "CRM data quality issues"
- "No automated alerting"
measurement:
- "Churn identified too late"
- "NPS not correlated to churn"
environment:
- "Economic downturn pressure"
- "Competitor aggressive pricing"
output_format: mermaid
skill: rca-analysis
action: fault-tree
parameters:
top_event: "Complete service outage"
tree:
gate: OR
events:
- name: "Infrastructure failure"
gate: AND
events:
- name: "Primary DC failure"
probability: 0.001
- name: "DR failover failure"
probability: 0.01
- name: "Application failure"
gate: OR
events:
- name: "Code deployment error"
probability: 0.02
- name: "Configuration error"
probability: 0.015
calculate:
- top_event_probability
- minimal_cut_sets
- critical_events
skill: rca-analysis
action: generate-report
parameters:
incident_id: "INC-2025-001"
report_type: comprehensive
include:
- executive_summary
- incident_timeline
- impact_assessment
- analysis_methodology
- root_causes
- contributing_factors
- corrective_actions
- lessons_learned
format: markdown
skill: rca-analysis
action: track-actions
parameters:
rca_id: "RCA-2025-001"
actions:
- id: "CA-001"
description: "Add missing database index"
owner: "database-team"
due_date: "2025-01-20"
status: completed
verification: "Query performance improved from 30s to 50ms"
- id: "CA-002"
description: "Implement connection pool monitoring"
owner: "sre-team"
due_date: "2025-01-25"
status: in_progress
This skill integrates with the following customer experience processes:
| Process | Integration Points |
|---|---|
| problem-management.js | Core RCA methodology, known error documentation, permanent fixes |
| itil-incident-management.js | Post-incident review, PIR documentation, preventive actions |
| closed-loop-feedback.js | Customer complaint root causes, systemic issue identification |
This skill is a strong candidate for extraction to a shared library with applicability to:
基于 SOC 职业分类